skysight-inc/HackerNews huggingface dataset:
Tuition is not the only cost; room and board are significant, and go to those loans too. If you take the average loan balance, divide by 4, you get about $8k/yr, which is pretty close to rent for a single student in many college towns.

75% of students attend state schools. If astudent chooses to go to an out-of-state school for $64k a year when there is a state college in your state that runs 1/3 of that, is that on them? Why should the taxpayers of Washington state subsidize the educational costs of students from Indiana?
Since you asked for feedback: I tried it out by asking about Zig conditional compilation, and it hallucinated some syntax that doesn't exist.

https://devv.ai/search?threadId=dl3rtxmcsruo

EDIT: The syntax came from a language proposal in a github issue from 8 years ago, so I guess it's not fully hallucinated. But still not the best choice of what source to use.
Pandas often has significant memory overhead, so it's not uncommon to need ~3-5x the amount of memory as your file size.

Polars and DuckDB are much better about memory management.
That's really not the application for this, it's tags, which are endlessly useful or characterizing the pointer. For instance you can use the MSBs to establish the type of whats pointed to, or for reference counting. I use the LSB to indicate if the value is a pointer or an unsigned integer, whereby you can store both an (integer) key to a record in a database, or a pointer to the record data in memory. You could use another bit in the pointer to indicate that the record is dirty.

Using unused bits in pointers can make you code more efficient and simpler.
Tesla bought over $2M worth of Lidar from Luminar
I don't think of examples really apply, because it's more a question of being on "cutting edge" vs personal hardware.

For example, running a local model and access to the features of a larger more capable/cloud model are two completely different features therefore there is no "no we should do x instead".

I'd imagine that a dumber local model runs and defers to cloud model when it needs to/if user has allowed it to go to cloud. Apple could not compete on "our models run locally privacy is a bankable feature" alone imo, TikTok install base has shown us enough that users prefer content/features over privacy, they'll definitely still need SoA cloud based models to compete.
> This certainly appears to have been the case at Twitter. Many employees, if appearances are to be believed, seemed to socialize and eat (free) for a living while proudly declaring themselves and their organization to be 'not really capitalist, more like socialist,' or whatever that one hidden camera quote was.

That was an interesting case. Given that Musk took over and it laid off all those engineers, I'd really want to disagree with you, but I remember all the claims of "just watch it implode", "yeah it will run for a month and then everything will melt down and they'll learn their lesson". But it's been a while and the service still seems to be up and I see people still posting links to it and so on. So I guess, I'd have to agree with you about Twitter.
More energy density in capacitors is a big thing, as capacitors are easily the biggest parts you will have to use on your PCB (if we exclude non-negotiable parts like connectors, buttons, displays, etc.)

But I'd like to add that it might take a long while for the results of this work getting into market. For circuit designers it is crucial to know under which conditions and after which time capacitors fail (and in which way they fail). This is all knowledge that has to be generated before such a thing goes to market. And usually you don't wanna be the early adopter on things like these
Seems like the recipe for independence, and agreed upon borders, and thus whatever interpretation of the second amendment one wants involves exactly choosing nuclear bombs, and managing to stockpile enough of them before being bombed oneself. At least at the nation state scale. Sealand certainly resorted to arms at several points in it's history.
Not 10k+, but a lot of leading hedge funds, especially tech focused ones, have 2-3k employees with a similar to lower revenue/employee to big tech. Doesn't seem to me that they run much leaner.
The thing about automation is that if you're good at it, you don't need very many people. Managers do need people in order to build their empires and get promoted. It seems to be the nature of modern work that these cross pressures create the weather systems that roil large companies.
It makes me think about how Einstein was famous for making falsifiable real-world predictions to accompany his theoretical work. And, sometimes it took years for proper experiments to be run (such as measuring a solar eclipse during the breakout of a world war).

Perhaps the opportunity here is to provide a quicker feedback loop for theory about predictions in the real world. Almost like unit tests.
The QR code is just a convenience feature. If you look at the sticker you see a short alpha numeric code, that's what's on the QR Code.

You can type that alpha numeric code into the Certisfy app to verify the sticker: https://certisfy.com/app/

You'll probably never use a social security certificate directly, it will be used as a IRL "identity anchor" certificate as described here:
https://cipheredtrust.com/doc/#pki-id-anchoring

Yes a fraudster will happily take a stolen card but it will be of no use to them if they try to use it via Stripe for instance to post a charge but Stripe requires a cryptographic signature for a certificate for the card :)

So sure the card processor has to require the signatures to make it effective. In other words the secrecy of the card number becomes irrelevant if it requires a certificate signature before it can be used, only the owner of the card has the private key on their device to generate the signature. Secrecy is still useful for privacy.
Most jobs are bullshit jobs [1].

How automation could work: we have to work less because automation decreass the amount of work done. Everybody has a greater quality of life.

How automation actually works: we fire half the staff and use that to suppress wages of those remaining ("you might be next", "you can be replaced"), increase the amount of work each person has to do and move the costs of the unemployed onto the state. For slightly higher profits.

So "bullshit jobs" are both a way of a company protecting itself (like in Google's case, by having people avilable) and society protecting itself where people create BS jobs because they may have a bS job themselves or may have one someday.

This is going to reach a breaking point in the future and it's long been predicted that at some point we'll only need 20% of people to do the work.

It's really shortsighted too because companies will have no one to sell to if no one earns enough to afford what they sell. But this system has no long-term planning. It's all a series of short-term local decisioning-making where we cut labor costs 20% to increase profits by 1%.

[1]: https://en.wikipedia.org/wiki/Bullshit_Jobs